IDEAS home Printed from https://ideas.repec.org/p/nca/ncaerw/147.html
   My bibliography  Save this paper

How Far Can Macro-Economic Policies Help Revive India during the Pandemic? A Computable General EquilibriumAnalysis

Author

Listed:
  • Barun Deb Pal

    (International Food Policy Research Institute (IFPRI), New Delhi)

  • Sanjib Pohit

    (National Council of Applied Economic Research)

  • Meenakshi Rajeev

    (Institute for Social and Economic Change (ISEC), Bengaluru, India
    National Council of Applied Economic Research)

Abstract

This study uses a computable general equilibrium model to analyse whether the economic relief package offered by the Indian Government to the affected parties during the COVID-19 pandemic had any lacunae or alternative policies and institutional arrangements could have been devised to minimise the economic losses caused by the pandemic in the country. The results reveal that existing economic relief packages saved a loss of almost 3 per cent in GDP. In contrast, spending 6 per cent of GDP as cash incentive to the producers would have resulted in only a 1 per cent fall in GDP. We argue that the pandemic raises transaction costs for the producer, and thus incentivising them will boost the supply of goods and services in the economy.

Suggested Citation

  • Barun Deb Pal & Sanjib Pohit & Meenakshi Rajeev, 2023. "How Far Can Macro-Economic Policies Help Revive India during the Pandemic? A Computable General EquilibriumAnalysis," NCAER Working Papers 147, National Council of Applied Economic Research.
  • Handle: RePEc:nca:ncaerw:147
    as

    Download full text from publisher

    File URL: https://www.ncaer.org/publication/how-far-can-macro-economic-policies-help-revive-india-during-the-pandemic-a-computable-general-equilibrium-analysis
    File Function: First version, 2023
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19 pandemic; CGE model; Transaction cost; Indian economy; Fiscal policy;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • D1 - Microeconomics - - Household Behavior
    • D2 - Microeconomics - - Production and Organizations

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nca:ncaerw:147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: B Ramesh (email available below). General contact details of provider: https://edirc.repec.org/data/ncaerin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.